Finally, it is worth emphasizing that the data transformation from the latent space to the NN's output can be as complex as in the first part of the network Fig. REF  in models that are not designed for regression or classification, such as e.g. the unsupervised auto-encoder models [1]} or U-Nets [2]}. This makes their analysis and control even more complex than in models following the general structure of Fig. REF .
